SAT-294. Automated quantitation of steatosis, inflammation, ballooning and fibrosis using machine learning in routine histological images of liver biopsies of patients with NAFLD

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Title: SAT-294. Automated quantitation of steatosis, inflammation, ballooning and fibrosis using machine learning in routine histological images of liver biopsies of patients with NAFLD
Authors: Forlano, R
Mullish, BH
Giannakeas, N
Maurice, J
Tsipouras, M
Tzallas, A
Yee, M
Lloyd, J
Goldin, R
Thursz, MR
Manousou, P
Item Type: Conference Paper
Issue Date: 1-Apr-2019
Date of Acceptance: 17-Jan-2019
URI: http://hdl.handle.net/10044/1/68296
DOI: https://dx.doio.org/10.1016/S0168-8278(19)30038-8
ISSN: 0168-8278
Publisher: Elsevier
Start Page: e767
End Page: e768
Journal / Book Title: Journal of Hepatology
Volume: 70
Issue: Supplement S1
Copyright Statement: © 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Medical Research Council
Medical Research Council (MRC)
European Association for the Study of Liver
European Association of the Study of the Liver
Funder's Grant Number: RDA27
MR/R00875/1
MR/R000875/1
N/A
Conference Name: International Liver Congress (ILC)
Keywords: 1103 Clinical Sciences
Gastroenterology & Hepatology
Publication Status: Published
Start Date: 2019-04-10
Finish Date: 2019-04-14
Conference Place: Vienna, Austria
Embargo Date: 2020-03-15
Online Publication Date: 2019-03-15
Appears in Collections:Division of Surgery
Faculty of Medicine



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